Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Web-based platform for evaluation of RF-based indoor localization algorithms
Technical University of Berlin, Germany.
Technical University of Berlin, Germany.
RISE, Swedish ICT, SICS.
Ghent University, Belgium.
Show others and affiliations
2015 (English)In: 2015 IEEE International Conference on Communication Workshop, ICCW 2015, Institute of Electrical and Electronics Engineers Inc. , 2015, p. 834-840Conference paper, Published paper (Refereed)
Abstract [en]

The experimental efforts for optimizing the performance of RF-based indoor localization algorithms for specific environments and scenarios is time consuming and costly. In this work, we address this problem by providing a publicly accessible platform for streamlined experimental evaluation of RF-based indoor localization algorithms, without the need of a physical testbed infrastructure. We also offer an extensive set of raw measurements that can be used as input data for indoor localization algorithms. The datasets are collected in multiple testbed environments, with various densities of measurement points, using different measuring devices and in various scenarios with controlled RF interference. The platform encompasses two core services: one focused on storage and management of raw data, and one focused on automated calculation of metrics for performance characterization of localization algorithms. Tools for visualization of the raw data, as well as software libraries for convenient access to the platform from MATLAB and Python, are also offered. By contrasting its fidelity and usability with respect to remote experiments on dedicated physical testbed infrastructure, we show that the virtual platform produces comparative performance results while offering significant reduction in the complexity, time and labor overheads. © 2015 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2015. p. 834-840
Keywords [en]
Algorithms, Computer software, Data visualization, Digital storage, Information management, MATLAB, Testbeds, Comparative performance, Experimental evaluation, Indoor localization, Localization algorithm, Performance characterization, Publicly accessible, Remote experiments, Software libraries, Indoor positioning systems
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-43911DOI: 10.1109/ICCW.2015.7247280Scopus ID: 2-s2.0-84947780338ISBN: 9781467363051 (print)OAI: oai:DiVA.org:ri-43911DiVA, id: diva2:1393040
Conference
IEEE International Conference on Communication Workshop, ICCW 2015, 8 June 2015 through 12 June 2015
Note

Conference code: 115891; Cited By :15; Export Date: 7 February 2020; Conference Paper

Available from: 2020-02-14 Created: 2020-02-14 Last updated: 2020-02-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus
By organisation
SICS
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.9